bayesm: plot.bayesm.mat – R documentation

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plot.bayesm.mat

Plot Method for Arrays of MCMC Draws

Description

plot.bayesm.mat is an S3 method to plot arrays of MCMC draws. The columns in the array correspond to parameters and the rows to MCMC draws.

Usage

## S3 method for class 'bayesm.mat'
plot(x,names,burnin,tvalues,TRACEPLOT,DEN,INT,CHECK_NDRAWS, ...)

Arguments

`x`	An object of either S3 class, `bayesm.mat`, or S3 class, `mcmc`
`names`	optional character vector of names for coefficients
`burnin`	number of draws to discard for burn-in (def: 0.1nrow(X))*
`tvalues`	vector of true values
`TRACEPLOT`	logical, `TRUE` provide sequence plots of draws and acfs (def: `TRUE`)
`DEN`	logical, `TRUE` use density scale on histograms (def: `TRUE`)
`INT`	logical, `TRUE` put various intervals and points on graph (def: `TRUE`)
`CHECK_NDRAWS`	logical, `TRUE` check that there are at least 100 draws (def: `TRUE`)
`...`	standard graphics parameters

Details

Typically, plot.bayesm.mat will be invoked by a call to the generic plot function as in plot(object) where object is of class bayesm.mat. All of the bayesm MCMC routines return draws in this class (see example below). One can also simply invoke plot.bayesm.mat on any valid 2-dim array as in plot.bayesm.mat(betadraws).

plot.bayesm.mat paints (by default) on the histogram:

green "[]" delimiting 95% Bayesian Credibility Interval
yellow "()" showing +/- 2 numerical standard errors
red "|" showing posterior mean

plot.bayesm.mat is also exported for use as a standard function, as in plot.bayesm.mat(matrix)

Author(s)

Peter Rossi, Anderson School, UCLA, perossichi@gmail.com.

Examples

## Not run: out=runiregGibbs(Data,Prior,Mcmc); plot(out$betadraw)

bayesm

Bayesian Inference for Marketing/Micro-Econometrics

v3.1-4

GPL (>= 2)

Authors

Peter Rossi <perossichi@gmail.com>

Initial release

2019-10-14